Integrated Derivative Thermogravimetric and Raman Spectroscopic Characterisation of Cassava Cortex–Sorbitol Formulations

Publication Details

Publication Date

10/11/2026

Volume / Issue

Vol 1, Issue 6 (2026)

Article No.

041

Journal

British Journal of Contemporary Research

DOI

https://doi.org/10.67693/BJCR-X4TC92X6

Received

19 Oct 2026

Views

18

Downloads

15

Abstract

This study revisits cassava cortex–sorbitol materials using six original numerical Raman exports and archived thermal records, with particular attention to spectral reliability and the distinction between thermal mass-loss and calorimetric signals. Untreated cassava cortex (CT100), formulations with 5, 15 and 25 wt.% sorbitol (CT5, CT15 and CT25), and sorbitol alone (SB100) were compared; chemically treated cortex (CTT100) was analysed separately. Each Raman export contained 2,090 intensity measurements between 100 and 4,278 cm⁻¹. A reproducible Savitzky–Golay and prominence-based workflow identified the strongest numerical maxima at 2,550, 2,246, 1,366, 2,444 and 1,218 cm⁻¹ for CT100, CT5, CT15, CT25 and SB100, respectively. These positions were confirmed directly from the supplied exports but are not necessarily assignable molecular bands; several high-wavenumber spikes require caution. Historical thermal graphs report features at 440, 400, 465, 410 and 370 °C, respectively. Their numerical correspondence with previously reconstructed derivative traces remains unverified; the historical temperatures are therefore presented as source-recorded observations, not independently validated DTG maxima. The Raman records demonstrate sample-dependent spectral variation, whereas the thermal evidence suggests a non-monotonic ordering of graph-reported features. The novelty lies in a transparent, reproducible reassessment of the original Raman measurements and an explicit evidence audit of their proposed thermal integration, extending an earlier thermal-focused report without implying new experiments or unverified structure–property relationships.

License

This article is published under the Creative Commons Attribution 4.0 International License . Free to read, share, and adapt with attribution.